> Markdown version of [/jobs/ext/1460212-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/1460212-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Machine Learning Engineer

- **Company:** Uta AI Inc.
- **Location:** Sunnyvale, CA, United States
- **Salary:** $140,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Automated Storage and Retrieval Systems, Big Data, C++ (Programming Language), Computer Programming, Python (Programming Language), Machine Learning, Language Modeling, Large Language Models, Deep Learning, Generative AI, Build Management, Machine Learning Operations
- **Published:** July 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c13119bb8ca5caa1

## About the Role

* Strong experience in machine learning applied to search, recommendation, ads, feed ranking, or relevance.
 * Strong fundamentals in ML, deep learning, NLP, or multimodal learning.
 * Hands-on experience with retrieval, ranking, embeddings, relevance, optimization, or RAG.
 * Experience with multimodal models is strongly preferred.
 * Familiarity with LLM fine-tuning methods such as SFT, LoRA, PEFT, RLHF, or DPO is a plus.
 * Strong programming skills in Python, Go, or C++.
 * Comfortable working in a fast-moving, high-ownership startup environment., * Master's (Required), * Machine learning: 1 year (Preferred)

## Description

We're hiring ML engineers to build the core intelligence behind our search, recommendation, and multimodal retrieval systems.

This is a high-impact, hands-on role for engineers who want to apply machine learning, deep learning, and generative AI to real product problems at scale. You'll work on retrieval, ranking, relevance, content understanding, embeddings, and multimodal models, and help turn research ideas into production systems that improve user experience and business metrics.

Responsibilities

 * Build and deploy ML models for search, recommendation, and discovery.
 * Improve multimodal retrieval across text, image, video, and structured data.
 * Develop and fine-tune LLMs and vision-language models for production use cases.
 * Work on relevance problems including query understanding, recall, ranking, embeddings, and RAG.
 * Run experiments, analyze results, and drive measurable improvements in KPIs.
 * Process large-scale data and build practical, scalable ML systems


## Related Videos

- [Inside the Mind of an LLM](https://www.wearedevelopers.com/videos/1617-inside-the-mind-of-an-llm)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning)
- [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative)
- [Unlocking the Power of AI: Accessible Language Model Tuning for All](https://www.wearedevelopers.com/videos/951-unlocking-the-power-of-ai-accessible-language-model-tuning-for-all)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)

## Related Articles

- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [The Best Large Language Models on The Market](https://www.wearedevelopers.com/magazine/319-the-best-large-language-models-on-the-market)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)